{"id":"https://openalex.org/W2045520393","doi":"https://doi.org/10.1109/itsc.2014.6958059","title":"Is it safe to change the lane? — Visual exploration of adjacent lanes for autonomous driving","display_name":"Is it safe to change the lane? — Visual exploration of adjacent lanes for autonomous driving","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2045520393","doi":"https://doi.org/10.1109/itsc.2014.6958059","mag":"2045520393"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2014.6958059","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2014.6958059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"17th International IEEE Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108351968","display_name":"Bj\u00f6rn Fr\u00f6hlich","orcid":null},"institutions":[{"id":"https://openalex.org/I4210139423","display_name":"Klinikum Sindelfingen-B\u00f6blingen","ror":"https://ror.org/04s366p63","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I4210139423"]},{"id":"https://openalex.org/I891521709","display_name":"Daimler (Germany)","ror":"https://ror.org/00m0j3d84","country_code":"DE","type":"company","lineage":["https://openalex.org/I891521709"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bjorn Frohlich","raw_affiliation_strings":["Environment Perception Group, Sindelfingen, Germany","Environment Perception Group, Daimler AG, Sindelfingen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Environment Perception Group, Sindelfingen, Germany","institution_ids":["https://openalex.org/I4210139423"]},{"raw_affiliation_string":"Environment Perception Group, Daimler AG, Sindelfingen, Germany","institution_ids":["https://openalex.org/I891521709"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066077246","display_name":"Julian Bock","orcid":null},"institutions":[{"id":"https://openalex.org/I4210107946","display_name":"Forschungsgesellschaft Kraftfahrwesen Aachen (Germany)","ror":"https://ror.org/01n42m123","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210107946"]},{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Julian Bock","raw_affiliation_strings":["Institut f\u00fcr Kraftfahrzeuge (IKA), RWTH Aachen University, Aachen, Germany","Institut f\u00fcr Kraftfahrzeuge (ika), RWTH Aachen University, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Kraftfahrzeuge (IKA), RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I4210107946","https://openalex.org/I887968799"]},{"raw_affiliation_string":"Institut f\u00fcr Kraftfahrzeuge (ika), RWTH Aachen University, Germany","institution_ids":["https://openalex.org/I4210107946","https://openalex.org/I887968799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109566845","display_name":"Uwe Franke","orcid":null},"institutions":[{"id":"https://openalex.org/I4210139423","display_name":"Klinikum Sindelfingen-B\u00f6blingen","ror":"https://ror.org/04s366p63","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I4210139423"]},{"id":"https://openalex.org/I891521709","display_name":"Daimler (Germany)","ror":"https://ror.org/00m0j3d84","country_code":"DE","type":"company","lineage":["https://openalex.org/I891521709"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Uwe Franke","raw_affiliation_strings":["Environment Perception Group, Sindelfingen, Germany","Environment Perception Group, Daimler AG, Sindelfingen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Environment Perception Group, Sindelfingen, Germany","institution_ids":["https://openalex.org/I4210139423"]},{"raw_affiliation_string":"Environment Perception Group, Daimler AG, Sindelfingen, Germany","institution_ids":["https://openalex.org/I891521709"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2304","last_page":"2309"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7257460355758667},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6836047172546387},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.656467080116272},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.640709400177002},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.6035937070846558},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.564033031463623},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5444390177726746},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46906566619873047},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4662918448448181},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.41431349515914917},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20921114087104797},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1779572069644928},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.17460685968399048},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08926793932914734}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7257460355758667},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6836047172546387},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.656467080116272},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.640709400177002},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6035937070846558},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.564033031463623},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5444390177726746},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46906566619873047},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4662918448448181},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.41431349515914917},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20921114087104797},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1779572069644928},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.17460685968399048},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08926793932914734},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2014.6958059","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2014.6958059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"17th International IEEE Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.699999988079071,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W61944265","https://openalex.org/W1485877476","https://openalex.org/W1986634836","https://openalex.org/W1988790447","https://openalex.org/W1995149321","https://openalex.org/W1997350021","https://openalex.org/W2046537727","https://openalex.org/W2100453294","https://openalex.org/W2118003325","https://openalex.org/W2124614491","https://openalex.org/W2133011549","https://openalex.org/W2133155478","https://openalex.org/W2135457387","https://openalex.org/W2142736537","https://openalex.org/W2145142957","https://openalex.org/W2147075057","https://openalex.org/W2147517775","https://openalex.org/W2153957684","https://openalex.org/W2168480981","https://openalex.org/W2170110077","https://openalex.org/W2170556156","https://openalex.org/W2171268854","https://openalex.org/W2230170002","https://openalex.org/W4248437541","https://openalex.org/W4250973170","https://openalex.org/W6681678557","https://openalex.org/W6682401619","https://openalex.org/W6685003190","https://openalex.org/W6685116759"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2735662278","https://openalex.org/W2382615723","https://openalex.org/W4311804456","https://openalex.org/W1987484445","https://openalex.org/W2623658258","https://openalex.org/W2143413548","https://openalex.org/W1969219540","https://openalex.org/W2370459448","https://openalex.org/W2105067402"],"abstract_inverted_index":{"Lane":[0],"changes":[1],"on":[2,51,70,93,97],"multi-lane":[3],"roads":[4],"are":[5],"an":[6],"important":[7],"and":[8,77,80,116],"complex":[9],"task":[10],"for":[11,108],"autonomous":[12],"driving":[13],"because":[14],"the":[15,22],"system":[16],"has":[17],"to":[18,41,61,105],"be":[19,36,106],"sure":[20],"that":[21],"adjacent":[23],"lane":[24],"is":[25,69,103],"not":[26],"occupied":[27],"by":[28,38],"any":[29],"other":[30],"object.":[31],"Existing":[32],"radar-based":[33],"systems":[34],"can":[35],"complemented":[37],"vision-based":[39],"methods":[40,49,92],"increase":[42],"their":[43],"reliability.":[44],"This":[45],"work":[46],"presents":[47],"new":[48],"based":[50],"multiple":[52],"pattern":[53],"recognition":[54],"strategies,":[55],"such":[56,73,83],"as":[57,74,84],"image":[58],"categorization,":[59],"applied":[60],"serially-produced,":[62],"side-mirror":[63],"mounted":[64],"fish-eye":[65],"cameras.":[66],"The":[67,100],"focus":[68],"appearance-based":[71],"methods,":[72,82],"tire":[75],"detection":[76],"structure":[78],"analysis,":[79],"motion-based":[81],"optical":[85],"flow.":[86],"Extensive":[87],"experiments":[88],"evaluate":[89],"all":[90,109,113],"presented":[91],"long":[94],"video":[95],"sequences":[96],"German":[98],"highways.":[99],"proposed":[101],"approach":[102],"shown":[104],"effective":[107],"kinds":[110],"of":[111],"vehicles,":[112],"relevant":[114],"situations,":[115],"under":[117],"varying":[118],"weather":[119],"conditions.":[120]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}